Abstract
As fact-checking videos increasingly circulate on video-sharing platforms, more research is needed to understand the prevalent features of such videos and how they are associated with audience engagement. Drawing from the literature on fact-checking, communication, marketing, and computer science, we identified eight audiovisual features as well as seven persuasive strategies that are most relevant to fact-checking videos. Using a hybrid video analysis framework combining both automated and manual content analysis, we examined 4,309 fact-checking videos on Douyin, the Chinese version of TikTok. We found that fact-checking videos on Douyin tended to have higher brightness, less cool color dominance, and faster tempo than non-fact-checking videos from the same accounts and Douyin Trending videos, and frequently used persuasive strategies like clickbait and humor. Through feature clustering, we established three types of fact-checking videos on Douyin—long storytelling cartoons, short stimulating videos, and short authoritative videos. We found that several audiovisual features and persuasive strategies were associated with audience engagement, such as likes, comments, and reshares. This study sheds light on the common practices of fact-checking videos in Chinese cyberspace, extends the current image-as-data paradigm to fact-checking videos, and helps fact-checkers make evidence-based decisions on content creation.
Original language | English (US) |
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Journal | Social Media and Society |
Volume | 9 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1 2023 |
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Stanford University, Stanford Program on Democracy and the Internet (PDI) Research Funding; University of California > University of California, Davis, Academic Senate Research Grant. Our thanks to Mengmeng Guo and Huazhi Qin for superb research assistance; Jonathan Bright, Anna George, Alexandra Pavliuc, Viktoria Spaiser, and participants of the 3rd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM), 72nd Annual Conference of the International Communication Association (ICA), and 8th International Conference on Computational Social Science (IC2S2) for many helpful comments and suggestions; and to the UC Davis Academic Senate Research Grant and the Stanford Program on Democracy and the Internet (PDI) Research Funding for research support.
Keywords
- Douyin
- TikTok
- fact-checking
- image-as-data
- misinformation
- multimodal
- video
ASJC Scopus subject areas
- Cultural Studies
- Communication
- Computer Science Applications